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ALDI Magyarország

Data Engineer-Conversational Analytics

ALDI Magyarország Budapest, Central Hungary, Hungary

Retail · 5,001-10,000 employees

4 d ago
data-engineer Mid (2-5 yrs) Full-time Hungary
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About the role

Develop and optimize data pipelines and the semantic layer for conversational analytics within a global data lake environment. Ensure high data quality and reliability while automating operational tasks using Python, Spark, and Databricks.

What they look for

Python Spark Databricks SQL Data engineering Data modeling Conversational analytics Data quality control Shell scripting UNIX Big data Data lake Semantic layer Data integration Analytical thinking Communication

Requirements

Requires strong proficiency in Python, Spark, Databricks, and SQL for data management and processing. Candidates should have a data-centric mindset with experience in data modeling and basic knowledge of UNIX and shell scripting.

Benefits

Growing organization Long-term job opportunity Flexible work arrangements Home office possibility

Full description

My responsibilities:

  • Provide trusted data for conversational analytics, including a semantic layer, metric definitions, and a business glossary that text-to-SQL questions can use
  • Maintain, develop, and optimize the data layer of AI us cases in the global data lake environment, ensuring high data quality, reliability, and overall performance
  • Design and implement high-performance data processing pipelines and workflows utilizing Python, Spark, and Databricks
  • Manage scalable and efficient data integration and processing solutions using Databricks
  • Establish robust data management processes and execute advanced data querying and quality control with SQL and big data technologies
  • Automate operational tasks and support infrastructure maintenance by leveraging shell scripting and foundational UNIX knowledge
  • Support data modelling initiatives for coherent structure design and document all technical processes to ensure operational continuity 

The knowledge I own:

  • Strong background and understanding of database data management (general SQL knowledge, data querying, data quality control)
  • Strong programming knowledge in Python (pyspark)
  • Advanced level Big Data / data lake framework (Spark, Databricks)
  • Strong cloud knowledge and handling of Databricks
  • Basic familiarity with UNIX operating system, especially shell scripting
  • Basic understanding of network level problems and connectivity requirements
  • Basic understanding of data modelling principles and semantic layers (metric definitions, business glossaries) for conversational analytics
  • Data-centric mindset
  • Structured, analytical thinking
  • Strong communication skills
  • Well-organized 

The offer that would convince me:

  • A constantly growing organization and increasing opportunities
  • Secure, long-term job opportunity
  • Varied and engaging job responsibilities
  • The chance to build data products used by colleagues across the international organization 
  • Outstanding salary
  • Flexible work arrangements
  • Home office possibility 

Online application:

Please use our online application and attach your resume.

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